Proteus: Simulating the Performance of Distributed DNN Training

DNN models are becoming increasingly larger to achieve unprecedented accuracy, and the accompanying increased computation and memory requirements necessitate the employment of massive clusters and elaborate parallelization strategies to accelerate DNN training. In order to better optimize the performance and analyze the cost, it is indispensable to model the training throughput of distributed DNN training. However, complex parallelization strategies and the resulting complex runtime behaviors make it challenging to construct an accurate performance model. In this paper, we present Proteus, the first standalone simulator to model the performance of complex parallelization strategies through simulation execution. Proteus first models complex parallelization strategies with a unified representation named Strategy Tree. Then, it compiles the strategy tree into a distributed execution graph and simulates the complex runtime behaviors, comp-comm overlap and bandwidth sharing, with a Hierarchical Topo-Aware Executor (HTAE). We finally evaluate Proteus across a wide variety of DNNs on three hardware configurations. Experimental results show that Proteus achieves $3.0\%$ average prediction error and preserves order for training throughput of various parallelization strategies. Compared to state-of-the-art approaches, Proteus reduces prediction error by up to $133.8\%$

Effects of Dietary Manganese Supplementation on Antioxidant Enzyme Activity in the Shrimp (Neocaridina heteropoda)

The effects of the manganese (Mn) supplemented diets on the level of superoxide anions (O-2) in the hemolymph, and the activity of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPX) in the muscle of Neocaridina heteropoda were investigated. Manganese sulfate (MnSO4) was added to a basal diet at 0, 20, 40, 60, 80, or 100 μg/g. Diets were fed to triplicate groups of shrimp (0.30±0.11 g, 1.4±0.1 cm) in a recirculating freshwater rearing system for 30 days. The Mn concentration in the rearing water, monitored during feeding, was 1.00±0.02 μg/l. O-2 was lower and antioxidant enzyme activity was higher (p<0.05) in shrimps fed Mn-supplemented diets than in shrimps fed the control. Antioxidant enzyme activity reached a maximum when the Mn concentration was 60 μg/g diet

Understanding the influence of user-generated content on tourist loyalty behavior in a cultural World Heritage Site

The emergence of social media has revolutionized tourists’ decision-making processes and behaviours. This study focuses on the effect of user-generated content (UGC) on tourist loyalty behaviour by examining structural relationships between destination image, satisfaction, revisit intention, and word-of-mouth (WOM) publicity. Data were collected from domestic tourists to Gulangyu, a World Heritage Site in China. The findings of this study reveal that UGC indirectly affects tourist loyalty behaviour by influencing destination image and satisfaction. Moreover, the results demonstrate that factual UGC and emotional UGC positively affect tourists’ perceived value of the destination, with emotional UGC having a greater influence

Understanding the influence of user-generated content on tourist loyalty behavior in a cultural World Heritage Site

The emergence of social media has revolutionized tourists’ decision-making processes and behaviours. This study focuses on the effect of user-generated content (UGC) on tourist loyalty behaviour by examining structural relationships between destination image, satisfaction, revisit intention, and word-of-mouth (WOM) publicity. Data were collected from domestic tourists to Gulangyu, a World Heritage Site in China. The findings of this study reveal that UGC indirectly affects tourist loyalty behaviour by influencing destination image and satisfaction. Moreover, the results demonstrate that factual UGC and emotional UGC positively affect tourists’ perceived value of the destination, with emotional UGC having a greater influence